Management Perspectives Abstracts

Improving Pharmaceutical R&D Productivity using Information Insights
John Apathy, Partner, Health & Life Sciences Practice, Accenture

Pharmaceutical companies face a significant productivity challenge today. Underlying this challenge is the ability to make better decisions faster leveraging all the information that exists. Improving an organization’s ‘Return on Information’ can be a significant lever on improving R&D productivity. This talk will present a framework for understanding the challenges that exist today and also present an overview of emerging capabilities that will significantly enhance an organization’s abilities to harvest insights from existing information. An R&D example will be used to bring the ideas to life. The presentation will conclude with a view on the components needed to make the vision a reality.

The Emergence of Post-market Analytics for Post-market Surveillance
Hugh Levaux, Ph.D., CEO, Ninaza

This presentation will discuss the use of analytics in postmarket surveillance (Phase IIIb - IV studies). The presentation will include a discussion of the increase of more FDA-mandated post-market surveillance studies and the issues involved in using data analytics and data collection in these studies and how they differ from those of pre-market studies (e.g., Phase I - III). The presentation will also discuss the practical implementation issues of post-market studies.

The Intelligent Health Enterprise: u-Severance Hospital project
Bung-Chul Chang, MD, Ph.D, CIO, Yonsei University Medical Center, Professor, Department of Thoracic and Cardiovascular Surgery

Yonsei University Medical Centre (YUMC) recently opened a ubiquitous hospital system named u-SMART (Severance Medical-information Archiving and Retrieving Technology) with integration of CPOE/EMR/PACS/ERP in order to pursue a customercentric medical culture through advanced medical information systems to enhance patient care and service standards. This case study will discuss the issues and challenges faced when implementing such a system, including infrastructure development, HER integration, extending the knowledge base for research and clinical care and integrating it into clinical decision support.

Using Predictive Modeling to enhance Diagnosis and Therapy Selection
J. Michael Hardin, Ph.D., Associate Dean for Research, Culverhouse College of Commerce, University of Alabama

This presentation will discuss the use of information analytics and predictive modeling to enhance diagnosis and therapy selection in clinical treatment.

Using Information Analytics to Enhance Care Management and Plan Performance
Felix Cirillo, Executive Vice President, Chief Information Officer, ActiveHealth Management, Inc.

This presentation will discuss the role and use of information analytics and predictive modeling in the operations of health plans, specifically regarding the use of analytics by health plans to enhance care management and plan performance.

Population-based Analysis of the Health Condition
Felix Cirillo, Executive Vice President, Chief Information Officer, ActiveHealth Management, Inc.

This presentation discusses the use of population-based analytics to analyze the health condition of large patient populations and patient risk pools. The presentation will discuss how this information is analyzed and utilized to make decisions regarding health policy and patient programs.